Azure/GPT-RAG

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

What it solves

It provides a secure, scalable, and enterprise-ready framework for building Retrieval-Augmented Generation (RAG) solutions. It addresses the challenge of operationalizing Generative AI in corporate environments by incorporating Zero-Trust security, Responsible AI, and end-to-end observability.

How it works

GPT-RAG uses a pattern where Azure AI Search is used for retrieval and Azure OpenAI large language models power the ChatGPT-style Q&A experiences. It is built on a Zero-Trust architecture to ensure components operate in isolated environments with tightly governed network access and least-privilege communication.

Who it’s for

Organizations looking to deploy enterprise-grade AI agents and RAG systems that require high security, network isolation, and the ability to process complex queries across large data collections.

Highlights

  • Zero-Trust Security: Implements a controlled, isolated environment with least-privilege principles.
  • AI Agent Capabilities: Supports advanced scenarios like NL2SQL query generation and context-aware interactions.
  • Enterprise Ready: Includes architecture templates and deployment assets for scalable operationalization.
  • Observability: Incorporates end-to-end observability and Responsible AI practices.